Results 211 to 220 of about 94,406 (293)

On the Sustainability of Lithium‐Ion Battery‐Powered Electric Vehicles: Critical Review, Analysis, and Perspectives

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This review and analysis evaluate the benefits of LIB‐powered EVs on emission reduction of both CO2 and air pollutants. The raw materials of LIBs face low supply risks as the cathodes switch to low‐cobalt scenarios. Proper management of EV charging can mitigate its negative impact and even contribute to the stability and resilience of the power grid ...
Wanru Chen   +5 more
wiley   +1 more source

A systematic analysis of mitochondrial aminoacyl tRNA synthetase variants in a rare disease cohort. [PDF]

open access: yesEur J Hum Genet
Ratnaike TE   +6 more
europepmc   +1 more source

Air Stability of Sulfide Solid Electrolytes: From Theoretical Insights to Practical Solutions

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This paper reviews research progress on the air stability of SSEs, covering their instability mechanisms and modification strategies, while outlining core challenges and future directions for practical applications. Sulfide solid electrolytes are pivotal for enabling high‐performance all‐solid‐state batteries due to their high ionic conductivity and ...
Hongbing Ding   +10 more
wiley   +1 more source

Can epilepsy be predicted after the first febrile seizure? Insights from machine learning of postictal EEG

open access: yesEpileptic Disorders, EarlyView.
Abstract Objective Febrile seizures (FS) are the most common seizures in childhood, yet identifying children at risk of developing epilepsy after the first FS remains challenging. We aimed to evaluate the prognostic potential of machine learning (ML) algorithms applied to post‐febrile seizure electroencephalography (EEG) recordings.
Boran Şekeroğlu   +7 more
wiley   +1 more source

A modified instantaneous reactive power algorithm for shunt compensation. [PDF]

open access: yesSci Rep
Mishra N   +7 more
europepmc   +1 more source

Ensemble Deep Learning–Based Wind Power Forecasting With Self‐Adaptive Osprey Optimization Algorithm

open access: yesEnergy Science &Engineering, EarlyView.
Design of Self‐Adaptive Osprey (SAO) algorithm: The novel SAO algorithm is designed by integrating the exploration capability of the conventional Osprey algorithm by including the self‐adaptiveness for enhancing the convergence rate. Ensemble Deep Learning for wind power forecasting: The wind forecasting is employed using the proposed Ensemble learning
Johncy Bai Johnson   +3 more
wiley   +1 more source

Monochorionic-twin-on-a-chip for investigating fetal organ growth and metabolism. [PDF]

open access: yesMicrosyst Nanoeng
Ran R   +7 more
europepmc   +1 more source

Robust Control Using a Matrix Converter to Enhance Wind Turbine Systems

open access: yesEnergy Science &Engineering, EarlyView.
This study uses a more efficient and effective solution to improve the operational performance of a wind turbine‐based power system. This system uses a doubly fed induction generator and relies on a matrix converter and fractional‐order proportional–integral controller.
Sihem Ghoudelbourk   +4 more
wiley   +1 more source

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